mathcoding / opt4dsLinks
Optimization Models and Algorithms
☆16Updated 3 months ago
Alternatives and similar repositories for opt4ds
Users that are interested in opt4ds are comparing it to the libraries listed below
Sorting:
- A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.☆12Updated last year
- Combinatorial Optimization in Gurobi☆44Updated 2 years ago
- A series of tutorials for conducting computational experiments with optimization solvers☆89Updated last year
- An optimization app for the Traveling Salesman Problem☆30Updated last year
- A collection of black-box optimizers with a focus on evolutionary algorithms☆28Updated 5 years ago
- A Gentle Principled Introduction to Deep Reinforcement Learning☆19Updated 4 months ago
- code associated with paper "Sparse Bayesian Optimization"☆26Updated last year
- TaskMet Task-driven Metric Learning for Model Learning☆19Updated last year
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- Code for "Explainable Data-Driven Optimization" (ICML 2023)☆14Updated 2 years ago
- ☆18Updated 2 years ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆36Updated 2 years ago
- Examples on numerical optimization☆65Updated 8 months ago
- Mathematical Modeling for Optimization and Machine Learning☆156Updated 11 months ago
- ⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems☆19Updated 2 years ago
- This repository is to solve parallel machine scheduling problems with release constraints☆38Updated 9 months ago
- A curated list of awesome Operations Research (OR) resources.☆29Updated last year
- PyTorch reimplementation of the paper "HyperMixer: An MLP-based Green AI Alternative to Transformers" [arXiv 2022].☆17Updated 3 years ago
- Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems☆18Updated 2 years ago
- Nutmeg – a MIP and CP branch-and-check solver☆26Updated 2 years ago
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆25Updated 10 months ago
- Materials for "RL for Inventory Optimization", Day 4 of the "RL for Operations Bootcamp", Kellogg School of Management, Northwestern Univ…☆16Updated last year
- Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.☆61Updated 6 years ago
- Exploring the classical regression capabilities of LLMs.☆18Updated last year
- Hyperparameter tuning via uncertainty modeling☆47Updated last year
- This repository contains code and theory of mathematical concepts required to master Machine Learning☆15Updated 7 years ago
- Federated Learning Infra Architecture on Kubernetes(EKS)☆19Updated 5 years ago
- (partial) replication of results from https://arxiv.org/abs/1912.07768☆26Updated 5 years ago
- Tutorial on time-series forcasting with scikit-learn☆33Updated 2 years ago
- Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.☆28Updated 9 months ago